Postdoctoral Research Associate | Parents, Adolescents, and Siblings Study

University of Notre Dame • Notre Dame, IN

1d • Onsite

About The Position

The Department of Sociology at the University of Notre Dame invites applications for a full-time Postdoctoral Researcher to join a team analyzing data from the Parents, Adolescents, and Siblings Study (PASS), an NIH funded study with 4 waves of data on 682 families examining the impact of family and friends on the emergence of alcohol, substance use, and mental health problems during adolescence and the transition to adulthood. The postdoctoral researcher will play a central role in advancing this work through quantitative analysis, manuscript preparation, and next-phase study development. The successful candidate will work closely with Dr. Sarah Mustillo and collaborate with external investigators from other universities. Further, there will be opportunities to collaborate with faculty from the Lucy Family Institute for Data and Society and the ND Population Analytics Program on other research projects and to advance the candidate's own scholarly agenda as well. This is a full-time, in-person position based in South Bend, Indiana. The twelve-month annual salary is commensurate with NIH postdoctoral salary guidelines ( https://www.niaid.nih.gov/grants-contracts/salary-cap-stipends ). The position includes health insurance and university benefits as well as funds for conference travel and professional development. The initial appointment is for one year beginning August 2026, with the possibility of renewal contingent upon satisfactory performance and funding availability.

Requirements

• Ph.D. in sociology, demography, public health, human development, economics, psychology, or a related field by the start date.
• Strong training in quantitative methods including longitudinal methods, growth mixture models, and within-family designs.
• Proficiency with Mplus or R.
• Evidence of peer-reviewed publications.

Nice To Haves

• Experience working with large-scale datasets.
• Experience with data management.
• Prior involvement in collaborative or grant-funded research.
• The ideal candidate will be intellectually curious, detail-oriented, an independent worker, and capable of contributing to both team-based and independent research.

Responsibilities

• Quantitative analysis
• Manuscript preparation
• Next-phase study development
• Collaborate with external investigators
• Collaborate with faculty from the Lucy Family Institute for Data and Society and the ND Population Analytics Program on other research projects
• Advance the candidate's own scholarly agenda

Benefits

• health insurance
• university benefits
• funds for conference travel
• professional development

What This Job Offers

• Job Type: Full-time
• Education Level: Ph.D. or professional degree